Evidence map›Paper›PMID 21036680›Full record

ArticleMolecular oncology2010

Tissue proteomics of the human mammary gland: towards an abridged definition of the molecular phenotypes underlying epithelial normalcy.

José M A Moreira, Teresa Cabezón, Irina Gromova, Pavel Gromov, Vera Timmermans-Wielenga, Isidro Machado, Antonio Llombart-Bosch, Niels Kroman, Fritz Rank, Julio E Celis

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In one paragraph

Article in Molecular oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Ductal keratin 15NPJ breast cancer · 2022
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  7. Review
  8. A strategy for tissue self-organization that is robust to cellular heterogeneity and plasticity.Proceedings of the National Academy of Sciences of the United States of America · 2015
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  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

José M A MoreiraDepartment of Proteomics in Cancer, Institute of Cancer Biology, Danish Cancer Society, Copenhagen, Denmark. jom@cancer.dk
Teresa Cabezón
Irina Gromova
Pavel Gromov
Vera Timmermans-Wielenga
Isidro Machado
Antonio Llombart-Bosch
Niels Kroman
Fritz Rank
Julio E Celis
Danish Cancer Society · DKUniversitat de València · ESCopenhagen University Hospital · DKRigshospitalet · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our limited understanding of the biological impact of the whole spectrum of early breast lesions together with a lack of accurate molecular-based risk criteria for the diagnosis and assignment of prognostic significance to biopsy findings presents an important problem in the clinical management of patients harboring precancerous breast lesions. As a result, there is a need to identify biomarkers that can better determine the outcome of early breast lesions by identifying subpopulations of cells in breast premalignant disease that are at high-risk of progression to invasive disease. A first step towards achieving this goal will be to define the molecular phenotypes of the various cell types and precursors - generated by the stem cell hierarchy - that are present in normal and benign conditions of the breast. To date there have been very few systematic proteomic studies aimed at characterizing the phenotypes of the different cell subpopulations present in normal human mammary tissue, partly due to the formidable heterogeneity of mammary tissue, but also due to limitations of the current proteomic technologies. Work in our laboratories has attempted to address in a systematic fashion some of these limitations and here we present our efforts to search for biomarkers using normal fresh tissue from non-neoplastic breast samples. From the data generated by the 2D gel-based proteomic profiling we were able to compile a protein database of normal human breast epithelial tissue that was used to support the biomarker discovery program. We review and present new data on the putative cell-progenitor marker cytokeratin 15 (CK15), and describe a novel marker, dihydropyriminidase-related protein 3 (DRP3) that in combination with CK15 and other well known proteins were used to define molecular phenotypes of normal human breast epithelial cells and their progenitors in resting acini, lactating alveoli, and large collecting ducts of the nipple. Preliminary results are also presented concerning DRP3 positive usual ductal hyperplasias (UDHs) and on single cell layer columnar cells (CCCs). At least two bona fide biomarkers of undifferentiated ERα/PgR negative luminal cells emerged from these studies, CK15 and c-KIT, which in combination with transformation markers may lead to the establishment of a protein signature able to identify breast precancerous at risk of progressing to invasive disease.

Indexed as

Breast NeoplasmsMammary Glands, HumanPhenotypeBiomarkersDatabases, ProteinElectrophoresis, Gel, Two-DimensionalEpithelial CellsFemaleHumansImmunohistochemistryImmunophenotypingKeratin-15Keratin-19Mass SpectrometryMuscle ProteinsProtein Array AnalysisBiomarkersDPYSL3 protein, humanKeratin-15Keratin-19Muscle ProteinsProtein Isoforms

Identifiers

PMID21036680
PMCPMC5527921
OpenAlexW2132446106

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.